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Intensity-Dependent Point Processes
A practical and theoretically interesting problem in the context of point processes are marked point patterns where the statistical properties of...
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Bayesian Software Packages
The research-level complexity of performing Bayesian inference with the statistical models typically encountered in practical decision problems can...
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Statistical literacy: a key to comprehend a changing world
The paper outlines ISTAT’s current experience with the promotion of statistical literacy with several stakeholders and with different projects. It...
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Flexible asymmetric multivariate distributions based on two-piece univariate distributions
Classical symmetric distributions like the Gaussian are widely used. However, in reality data often display a lack of symmetry. Multiple...
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Ulf Böckenholt
Ulf Böckenholt is the John D. Gray professor of marketing at the Kellogg School of Management at Northwestern University, Illinois. He was president...
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The Cosine Depth Distribution Classifier for Directional Data
Directions, rotations, axes, clock, or calendar measurements can be represented as angles or equivalently as unit vectors. As points lying on the...
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Experimental Data Analysis
The technical and more extensive part of this chapter describes how to apply statistical and probabilistic methods to the various types of...
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Computing the halfspace depth with multiple try algorithm and simulated annealing algorithm
The halfspace depth is a powerful tool for the nonparametric multivariate analysis. However, its computation is very challenging for it involves the...
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Exploring quality dimensions in trustworthy Machine Learning in the context of official statistics: model explainability and uncertainty quantification
Despite the fact that National Statistical Offices (NSOs) continue to embrace and adopt Machine Learning (ML) methods and tools in a variety of areas...
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Saving Storage in Climate Ensembles: A Model-Based Stochastic Approach
While climate models are an invaluable tool for increasing our understanding and therefore, the predictability of the Earth’s system for decades,...
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Bayesian Alternatives
The current discussion in psychological research methods and applied statistics has seen increasingly forceful requests to complement or even replace...
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Bayesian Discharge Rating Curves Based on the Generalized Power Law
Most methods for directly measuring discharge of a water stream are time-consuming and expensive, while water elevation is easier to measure....
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Estimation and Clustering of Directional Wave Spectra
The directional wave spectrum (DWS) describes the energy of sea waves as a function of frequency and direction. It provides useful information for...
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Gradient boosting for extreme quantile regression
Extreme quantile regression provides estimates of conditional quantiles outside the range of the data. Classical quantile regression performs poorly...
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Halfspace depth does not characterize probability distributions
We give examples of different multivariate probability distributions whose halfspace depths coincide at all points of the sample space.
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One-Way Analysis of Variance (ANOVA)
The methods introduced so far test difference hypotheses for a maximum of two groups or conditions with a t-test. Many research designs will actually...
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RR-classifier: a nonparametric classification procedure in multidimensional space based on relative ranks
Notions of data depth have motivated nonparametric multivariate analysis, especially in supervised learning. Maximum depth classifiers, classifiers...
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Prison Cloud and Big Data Application—Auxiliary Decision Making Support System
To achieve the government goals of ensuring the safety of supervision, improving the level of penalty correction, and promoting fair and honest law...
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Stochastic Simulation of Continuous Time Random Walks: Minimizing Error in Time-Dependent Rate Coefficients for Diffusion-Limited Reactions
A reaction limited by standard diffusion is simulated stochastically to illustrate how the continuous time random walk (CTRW) formalism can be...
